| The Chlamydomonas Genome Reveals the Evolution of Key Animal and Plant Functions SS Merchant, SE Prochnik, O Vallon, EH Harris, SJ Karpowicz, ... Science 318 (5848), 245-250, 2007 | 3020 | 2007 |
| Comparative quantitative proteomics to investigate the remodeling of bioenergetic pathways under iron deficiency in Chlamydomonas reinhardtii B Naumann, A Busch, J Allmer, E Ostendorf, M Zeller, H Kirchhoff, ... Proteomics 7 (21), 3964-3979, 2007 | 206 | 2007 |
| Algorithms for the de novo sequencing of peptides from tandem mass spectra J Allmer Expert review of proteomics 8 (5), 645-657, 2011 | 141 | 2011 |
| Mass spectrometric genomic data mining: Novel insights into bioenergetic pathways in Chlamydomonas reinhardtii J Allmer, B Naumann, C Markert, M Zhang, M Hippler Proteomics 6 (23), 6207-6220, 2006 | 75 | 2006 |
| Lithium protects against paraquat neurotoxicity by NRF2 activation and miR-34a inhibition in SH-SY5Y cells B Alural, A Ozerdem, J Allmer, K Genc, S Genc Frontiers in Cellular Neuroscience 9, 209, 2015 | 73 | 2015 |
| Computational methods for microRNA target prediction H Hamzeiy, J Allmer, M Yousef miRNomics: MicroRNA Biology and Computational Analysis, 207-221, 2014 | 66 | 2014 |
| On the performance of pre-microRNA detection algorithms MDS Demirci, J Baumbach, J Allmer Nature communications 8 (1), 1-9, 2017 | 64 | 2017 |
| EPO mediates neurotrophic, neuroprotective, anti-oxidant, and anti-apoptotic effects via downregulation of miR-451 and miR-885-5p in SH-SY5Y neuron-like cells B Alural, GA Duran, KU Tufekci, J Allmer, Z Onkal, D Tunali, K Genc, ... Frontiers in immunology 5, 475, 2014 | 64 | 2014 |
| miRNomics: microRNA biology and computational analysis M Yousef, J Allmer Humana Press, 2014 | 48 | 2014 |
| Can MiRBase provide positive data for machine learning for the detection of MiRNA hairpins? MD Saçar, H Hamzeiy, J Allmer Journal of integrative bioinformatics 10 (2), 1-11, 2013 | 48 | 2013 |
| Computational Prediction of MicroRNAs from Toxoplasma Gondii Potentially Regulating the Hosts’ Gene Expression MD Saçar, C Bağcı, J Allmer Genomics, Proteomics and Bioinformatics 12 (5), 228-238, 2014 | 47 | 2014 |
| Machine learning methods for microRNA gene prediction MD Saçar, J Allmer miRNomics: MicroRNA Biology and Computational Analysis, 177-187, 2014 | 47 | 2014 |
| Computational methods for ab initio detection of microRNAs J Allmer, M Yousef Frontiers in genetics 3, 209, 2012 | 47 | 2012 |
| Genomic simple sequence repeat markers reveal patterns of genetic relatedness and diversity in sesame AÖ Uncu, V Gultekin, J Allmer, A Frary, S Doganlar The Plant Genome 8 (2), plantgenome2014.11.0087, 2015 | 42 | 2015 |
| Development of genomic simple sequence repeat markers in opium poppy by next-generation sequencing I Celik, V Gultekin, J Allmer, S Doganlar, A Frary Molecular breeding 34, 323-334, 2014 | 39 | 2014 |
| maTE: discovering expressed interactions between microRNAs and their targets M Yousef, L Abdallah, J Allmer Bioinformatics 35 (20), 4020-4028, 2019 | 34 | 2019 |
| MicroRNA categorization using sequence motifs and k-mers M Yousef, W Khalifa, İE Acar, J Allmer BMC bioinformatics 18, 1-9, 2017 | 34 | 2017 |
| One step forward, two steps back; xeno-microRNAs reported in breast milk are artifacts C Bağcı, J Allmer PloS one 11 (1), e0145065, 2016 | 34 | 2016 |
| Development of EST-SSR markers for diversity and breeding studies in opium poppy H Selale, I Celik, V Gultekin, J Allmer, S Doganlar, A Frary | 34 | 2013 |
| Newly developed SSR markers reveal genetic diversity and geographical clustering in spinach (Spinacia oleracea) Ş Göl, M Göktay, J Allmer, S Doğanlar, A Frary Molecular genetics and genomics 292, 847-855, 2017 | 31 | 2017 |
Malik YousefZefat Academic College在 zefat.ac.il 的电子邮件经过验证
